docstr: Method to propose initial assumptions if needed
  
  Args:
      initial_assumption: initial assumption given by user
      available_operations: list of available operations defined by user
      use_input_preprocessing: whether to do preprocessing of initial data
  
  Returns:
      list of initial assumption pipelines
docstr_tok: ["Method","to","propose","initial","assumptions","if","needed","Args",":","initial_assumption",":","initial","assumption","given","by","user","available_operations",":","list","of","available","operations","defined","by","user","use_input_preprocessing",":","whether","to","do","preprocessing","of","initial","data","Returns",":","list","of","initial","assumption","pipelines"]
code: def propose_assumptions(
      self,
      initial_assumption: Union[List[Pipeline], Pipeline, None],
      available_operations: List,
      use_input_preprocessing: bool = True,
  ) -> List[Pipeline]:
      """
      Method to propose initial assumptions if needed
  
      Args:
          initial_assumption: initial assumption given by user
          available_operations: list of available operations defined by user
          use_input_preprocessing: whether to do preprocessing of initial data
  
      Returns:
          list of initial assumption pipelines
      """
  
      if initial_assumption is None:
          assumptions_builder = AssumptionsBuilder.get(
              self.data
          ).from_operations(available_operations)
          initial_assumption = assumptions_builder.build(
              use_input_preprocessing=use_input_preprocessing
          )
      elif isinstance(initial_assumption, Pipeline):
          initial_assumption = [initial_assumption]
      return initial_assumption
  
file_path: FEDOT/fedot/api/api_utils/assumptions/assumptions_handler.py
imports: import traceback
  from typing import List, Optional, Union
  from golem.core.log import default_log
  from fedot.api.api_utils.assumptions.assumptions_builder import AssumptionsBuilder
  from fedot.api.api_utils.presets import change_preset_based_on_initial_fit
  from fedot.api.time import ApiTime
  from fedot.core.caching.pipelines_cache import OperationsCache
  from fedot.core.caching.preprocessing_cache import PreprocessingCache
  from fedot.core.data.data import InputData
  from fedot.core.data.data_split import train_test_data_setup
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.utilities.memory import MemoryAnalytics
label_desc: Use image node_id 2 for calling the AssumptionsHandler obj's underlying member method code with example usage: obj.propose_assumptions(initial_assumption, available_operations, use_input_preprocessing) and returns: initial_assumption